Anlagensicherheit und Prozesssimulation
Filtern
Dokumenttyp
- Vortrag (90)
- Zeitschriftenartikel (46)
- Posterpräsentation (25)
- Beitrag zu einem Tagungsband (18)
- Dissertation (2)
- Preprint (2)
- Forschungsbericht (2)
- Buchkapitel (1)
- Video (1)
- Sonstiges (1)
Sprache
- Englisch (113)
- Deutsch (75)
- Mehrsprachig (1)
Schlagworte
- Hydrogen (14)
- Thermal radiation (14)
- Nichtelektrischer Explosionsschutz (12)
- Reibfunken (12)
- Schlagfunken (12)
- Schleiffunken (12)
- Mechanischer Explosionsschutz (10)
- Jet flame (9)
- Mechanisch erzeugte Funken (9)
- Wasserstoff (9)
Organisationseinheit der BAM
- 2 Prozess- und Anlagensicherheit (128)
- 2.1 Sicherheit von Energieträgern (93)
- 2.2 Prozesssimulation (32)
- 8 Zerstörungsfreie Prüfung (31)
- 8.4 Akustische und elektromagnetische Verfahren (16)
- 8.1 Sensorik, mess- und prüftechnische Verfahren (15)
- 1 Analytische Chemie; Referenzmaterialien (9)
- 7 Bauwerkssicherheit (9)
- S Qualitätsinfrastruktur (8)
- S.2 Digitalisierung der Qualitätsinfrastruktur (8)
Paper des Monats
- ja (5)
Ambit is an open-source multi-physics solver that has been developed over the past several years with the original focus to facilitate mechanics modeling of the cardiovascular system. It encompasses finite strain solid mechanics, supporting various constitutive laws suitable to describe cardiac tissue, lumpedparameter models of the circulatory system, and fluid dynamics in Eulerian and ALE descriptions. The framework further supports the coupling of single-field problems and allows 3D-0D interfacing of fluid or solid regions to lumped networks, as well as full 3D-3D fluid-solid interaction (FSI).
Ambit is written in Python and makes extensive use of the latest finite element library FEniCSx and the PETSc linear algebra suite, guaranteeing state-of-the-art backends and high-Performance capabilities.
Currently, the software is extended to multi-phase fluid dynamics and porous media structures, providing the building blocks for multiscale modeling of electrolytic systems, their degradation mechanisms, and beyond.
All multi-physics couplings are formulated and solved in a monolithic fashion, providing interfaces to design tailored block preconditioners for effectively solving large scale systems. Capabilities and performance are demonstrated on a patient-specific FSI-0D model of the heart using a recently proposed preconditioning strategy and on a multi-phase CFD Cahn-Hilliard Navier-Stokes example.
Polymer membranes are critical functional components in proton-exchange membrane water electrolyzers (PEMWEs), where they simultaneously enable ionic transport, separate reactive gases, and Sustain mechanical loads. Despite their central role, membrane failure remains a key limitation for System reliability and safety, driven by the complex interaction of electrochemical reactions, two-phase flow, transport processes, and material degradation due to mechanical, chemical, and thermal loads. In particular, gas-liquid flow regimes in catalyst layers, porous transport layers, and flow channels strongly influence local pressure, temperature, and concentrations at the membrane interface. These impact the membrane’s hydration conditions, inducing heterogeneous swelling, stress concentrations, and Membrane thinning, which accelerates the aging process.
This contribution presents a multiphysics modeling framework for the simulation-based investigation of membrane degradation and failure mechanisms in PEMWEs, synthesizing ideas from previous works into a novel integrated modeling approach. Two-phase flow in the adjacent porous and free-flow regions is described using porous-media formulations and phase-field computational fluid dynamics, resolving gas generation, saturation, and pressure fields under different operating conditions. The resulting interface quantities are coupled to a porous-mixture-based finite strain membrane model that accounts for hydration-dependent transport and swelling-induced deformation. Damage or failure indicators are introduced to capture the onset of critical membrane degradation driven by cyclic loading, dehydration, or pressure fluctuations.
This modeling concept enables systematic analysis of how operating conditions and flow regimes, including annular or mist-like patterns, contribute to membrane stress and failure risk. The Framework provides a foundation for predictive lifetime assessment and supports the design of more durable and safer electrolyzer systems.
Computational modeling of fluid-structure interaction as well as multiphase fluid flow represent highly relevant approaches for insights into many engineering systems, but few works have thoroughly studied the combined effects from a numerical perspective. To-date approaches are either partitioned schemes or fully Eulerian, limiting solver robustness or resolution of the fluid-solid interface. We present a first unified and monolithic finite element approach to multiphase fluid-structure interaction, where the flow is described by a coupled five-field Cahn-Hilliard Navier-Stokes equation system in Arbitrary Lagrangian-Eulerian (ALE) description, and the structure is governed by finite strain elastodynamics. Unknowns of the resulting six-field system are fluid velocities, pressures, phase field, chemical potential, domain displacements, and structural deformation. Coupling of fluid and solid is achieved with a monolithic Neumann-Dirichlet scheme, where the structure is constrained by fluid kinematics and the fluid receives the reaction forces, circumventing the introduction of a Lagrange multiplier. Avenues for the effective solution of the resulting system are shown, and applications to elasto-capillarity and bubble-membrane interactions in electrolyzers are demonstrated.
Digital transfer documents that are machine-readable – and ideally, machine-interpretable – offer a promising route for automating processes that require seamless digital data transmission. To ensure interoperability on both, the issuing and receiving sides, it is crucial to adopt harmonized solutions when transitioning from analogue-based to fully digital calibration certificates. This shift necessitates that the metrological communities establish agreed-upon best practices and guidelines for implementing these digital assets. This article describes how the specification of data formats and terminology for digital calibration certificates facilitates machine-interpretability and automation in metrological traceability and how the German Calibration Service (DKD) elaborates and reveals these harmonized solutions in comprehensive committee activities. With the establishment of these specifications, quality assurance in measurement technology will finally become more fast, easy, safe and affordable.
Introduction: Mitral regurgitation (MR) is a common valvular disease associated with complications such as pulmonary hypertension, atrial fibrillation, and heart failure. However, its full impact on the cardiovascular system, especially on right heart function, is not yet fully understood. Understanding this relationship is important because the right ventricle (RV) is critical for maintaining cardiovascular function. Dysfunction of the RV, which may be contributed by conditions like MR, is strongly associated with poor clinical outcomes. Despite its importance, comprehensively studying MR's effect on the RV has been challenging due to the complex, interdependent nature of cardiovascular dynamics, limited patient data, and the difficulty in synthesizing disparate information to clarify the left heart-right heart connection.
Methods: The primary goal of this study is to investigate the effects of MR on cardiovascular hemodynamics and RV function by integrating 3D models of the left heart with a closed-loop 0D models of the entire cardiovascular system. We further conduct detailed analyses using patient-specific models to explore how various system modifications impact the RV, providing insights into the nuanced effects of MR on the right heart.
Results and Discussion: This analysis provides several clinically relevant insights. First, progressive MR markedly increases RV afterload and predisposes the RV to dysfunction, even when intrinsic RV contractility is preserved or enhanced. Second, MR-specific severity indices and left-heart metrics alone fail to capture the true burden on the right heart; RV impairment can progress despite stable or only modestly changing MR descriptors. Finally, these findings highlight the need to incorporate direct assessment of RV structure and function into the evaluation of MR, as RV vulnerability plays a critical role in determining patient risk and guiding management decisions.
We present a fully coupled, patient-specific 3D–0D computational framework for hearts supported with left ventricular assist devices (LVAD) that enables controlled in silico experimentation. The approach monolithically integrates three-dimensional CFD of the left ventricle (LV), left atrium (LA), aortic root, and LVAD cannulae with a closed-loop 0D lumped parameter network of the full circulation. Mitral and aortic valve dynamics are governed by transvalvular pressure and flow with patient-specific regurgitant orifice areas, and the LVAD is represented via a pressure–flow (H–Q) relation. This manuscript provides the complete mathematical formulation, coupling strategy, and parameterization required to build a reproducible pipeline from dynamic CT, 2D transthoracic echocardiography, and right heart catheterization. This methodology is demonstrated in a patient under long-term support of LVAD and concomitant mitral and aortic regurgitation. The personalized, fully coupled 3D–0D models reproduced available clinical targets with a mean error of 8.6%, enabling controlled in silico interrogation of valve repair strategies. In the patient-specific state, simulated mitral and aortic regurgitant volumes were 6.6 and 6.5 mL per cycle, yielding a forward cardiac output of 3.16 L/min despite an LVAD flow of 3.7 L/min. In silico isolated mitral valve (MV) repair, isolated aortic valve (AV) repair, and combined MV+AV repair increased forward output to 3.41, 3.33, and 3.55 L/min, respectively; however, aortic valve opening and increased aortic pressure pulsatility (up to 38.9 vs. 13.5 mmHg) were observed only when MV repair was involved. These left-sided improvements propagated through the cardiopulmonary circulation, reducing pulmonary pressures and right ventricular loading, with the largest benefit observed following combined repair. We show that the modeling platform presented provides a powerful means to study mechanical circulatory support, enabling patient-specific evaluation of surgical interventions in patients with LVAD and delivering quantitative insight into clinically important metrics—such as aortic pulsatility, RV afterload, and chamber-level flow patterns.
ISO 376 is a globally established calibration standard for uniaxial force transducers. It regulates the handling, measuring procedure, raw data processing, calibration function determination as well as the assessment of measurement uncertainty and item classification. The DCC task group of the DKD’s technical committees for force, acceleration and acoustics and for torque defined good practice rules for DCCs in the scope of ISO 376 to enable interoperable certificates in force metrology. This talk introduces a specific DCC realization for a 1,000 kN tensile force transducer, highlighting several advanced features that are hardly covered by other model implementations so far, i.e. multiple measurement series with varying loading sequences and mounting positions, embedded balancing functions and coefficients, solitary relative measurement uncertainties and load-specific item classifications. Many of those aspects are also relevant for DCCs from other metrological communities, that may adopt the approaches that are recently harmonized for the quantity of force.
Adhesive interactions play a crucial role in collisions involving soft and compliant materials, yet classical impact models based on the Johnson–Kendall–Roberts (JKR) theory often underestimate experimentally observed energy losses. Motivated by evidence of adhesion hysteresis, we develop a model for the collision of an elastic sphere with an elastic half-space in which the loading and unloading stages are governed by different contact mechanisms. The indentation phase is described by non-adhesive Hertzian contact, whereas the rebound phase follows the adhesive JKR theory. This asymmetric Hertz–JKR formulation captures the additional Dissipation associated with secondary adhesion hysteresis. Universal expressions for the coefficient of restitution and the relative energy loss are obtained in dimensionless form as functions of a single adhesion parameter. These relationships constitute master curves that are independent of impact velocity, particle size, elastic properties, and work of adhesion. The model predicts significantly greater energy dissipation than the classical JKR approach across the entire range of adhesion parameters and yields a lower critical threshold for particle sticking after impact. The results provide a realistic framework for describing adhesive particle collisions in granular media, powders, aerosols, and other particulate systems.
The shock wave generator (SWG) is used to investigate the effects of blasts on humans and structures. Since its explosion characteristics deviate from the ideal characteristics in the form of excessively high impulse, various sensors were used to gain more detailed insights into the combustion and fluid mechanics inside the SWG. Two symmetrically arranged pressure sensors enabled the analysis of the almost identical but slightly shifted propagation of the shock waves inside the SWG, which differs by a few microseconds in time of arrival. The fluid then flows out of the SWG. In this way, the event was detected in a smaller pipe section using a pressure sensor and a fast heat flux sensor. The innovative measurement technology, an Atomic Layer Thermopile Sensor based on the inverse Seebeck effect, enabled the detection of extremely high heat fluxes exceeding 100 MW/m² with MHz-range temporal resolution. This made it possible to resolve the local boundary layer development, which transitioned from laminar to turbulent flow in less than 100 microseconds. In addition, the combination of both sensors allows conclusions to be drawn about the non-ideal shock wave characteristics outside the SWG, i.e. in the area where the models to be investigated are positioned. This makes it possible to identify additional shock waves emerging from the SWG, providing valuable information for further developing and optimising the test setup.
A large explosion occurred at an oil refinery after a desulfurization reactor cracked, releasing hot, pressurized gasoline. The resulting explosions and fire caused extensive damage and injured some employees.
A 1.4 m crack adjacent to a weld seam at a reactor support bracket caused the release. The reactor shell exhibited distinctive circumferential bulging. The reactor was erected using mild steel. All material properties of the reactor shell complied with the regulations in effect at that time. Fractographic analysis of the main crack and smaller ones at the other support brackets revealed stepwise ductile fracture resulting from static loading. All well-known failure mechanisms for pressure vessel burst had proven wrong: overpressure, pressure cycles, overtemperature, creep, corrosion, external (cyclic) mechanical loads… Due to small spherical indentations on the inside of the reactor shell, a completely new failure mechanism was established and investigated:
During service, the reactor was partially filled with ceramic ball grading and catalyst. Gasoline was processed at 150–250 °C and ∼ 24 bar. Each of the reactor’s ∼ 20 operating cycles ran for several months until the catalyst was spent, after which the reactor was cooled, depressurized, emptied, and refilled. Upon heating, the thermal expansion of the steel shell (∼3 times greater than ceramic) created gaps that were filled as ceramic balls settled. During operation, the catalyst degraded and agglomerated with the ceramic balls, forming a rigid mass. Upon cooling, the rigid mass resisted the vessel’s thermal contraction, inducing circumferential tensile stresses and plastic deformation, resulting in permanent bulging of the vessel. Charpy impact energy near the welds was significantly reduced, attributed to thermal and strain aging in the bulged region. Progressive embrittlement and increasing plastic strain led to crack initiation and incremental ductile crack propagation at the support bracket welds over successive cycles. The fracture features were reproduced in laboratory tests at 200 °C. FEA analysis confirmed the proposed mechanism. Two identical vessels showed similar damage but had not yet failed. To prevent future damage in pressure vessels, this new failure mechanism needs to be incorporated into design, operating and inspection codes for pressure vessels possibly/partially filled with solids.